ML.StartTrainedModelDeployment
: AddedWithPriority
New APIs
ML.UpdateTrainedModelDeployment
: Updates certain properties of trained model deployment.
BulkIndexer
Improvements were made to the BulkIndexer memory usage to allow better handling under burst use cases. Thanks to @christos68k and @rockdaboot !
ML.StartTrainedModelDeployment
: Description ofNumberOfAllocations
has been changed in "The total number of allocations this model is assigned across machine learning nodes".Security.GetAPIKey
: AddedWithLimitedBy
boolean parameter. Flag to show the limited-by role descriptors of API Keys.Security.GetUser
: AddedWithProfileUID
boolean parameter. Flag to retrieve profile uid (if exists) associated to the user.Security.GetUserProfile
: Changed the description of uid parameter, a comma-separated list of unique identifier for user profiles.Security.QueryAPIKeys
: AddedWithLimitedBy
boolean parameter. Flag to show the limited-by role descriptors of API Keys.TextStructureFindStructure
: AddedEcsCompatibility
string parameter. Optional parameter to specify the compatibility mode with ECS Grok patterns - may be either 'v1' or 'disabled'.
Promoted to stable
ML.InferTrainedModel
ML.PutTrainedModelDefinitionPart
ML.PutTrainedModelVocabulary
ML.StartTrainedModelDeployment
ML.StopTrainedModelDeployment
Security.activateUserProfile
Security.DisableUserProfile
Security.EnableUserProfile
Security.GetUserProfile
Security.HasPrivilegesUserProfile
Security.SuggestUserProfiles
Security.UpdateUserProfileData
New APIs
ML.ClearTrainedModelDeploymentCache
documentation.Security.BulkUpdateAPIKeys
documentation.Indices.Downsample
(Experimental API) documentation
Following multiple feedbacks we decided to remove the builder API for the type tree.
In its place, work has started to further simplify the type tree by removing redundant type aliases. The API also now comes with a helper package named some
that allows to call for inline pointers on primitive types.
In addition, a bug was fixed preventing the use of wildcards in index names, and enums are now extensible by default.
The Typed API remains in alpha
stage while its development continues.
get
,mget
andsearch
addedforce_synthetic_source
: Should this request force synthetic _source? Use this to test if the mapping supports synthetic _source and to get a sense of the worst case performance. Fetches with this enabled will be slower the enabling synthetic source natively in the index.ML.StartTrainedModelDeployment
addedcache_size
: A byte-size value for configuring the inference cache size. For example, 20mb.Snapshot.Get
addedsort
,size
,order
,from_sort_value
,after
,offset
andslm_policy_filter
. More on these in the documentation.
New API
Security.UpdateAPIKey
documentation.
As highlighted in the release not for the 8.4.0-alpha.1, this release marks the beginning of the newly arrived TypedClient
.
This new API is still in alpha
stage and will be release alongside the existing esapi
.
A few examples of standard use-cases can be found in the TypedAPI section of the documentation.
This second prerelease of the 8.4.0 updates the API for the client and fixes the serialization for types using additional properties.
This prerelease introduces a new typed API generated from the elasticsearch-specification. This generation from the common specification allows us to provide a complete API which uses an exhaustive hierarchy of types reflecting the possibilities given by Elasticsearch.
This new API is the next iteration of the Go client for Elasticsearch, it now lives alongside the existing API, it is in alpha
state and will gain features over time and releases.
The TypedClient
is built around a fluent builder for easier request creation and a collection of structures and helpers that mimics as closely as possible the Elasticsearch JSON API.
As a first example, here is a search request:
cfg := elasticsearch.Config{
// Define your configuration
}
es, _ := elasticsearch.NewTypedClient(cfg)
res, err := es.Search().
Index("index_name").
Request(&search.Request{
Query: &types.QueryContainer{
Match: map[types.Field]types.MatchQuery{
"name": {Query: "Foo"},
},
},
},
).Do(context.Background())
The Request
uses the structures found in the typedapi/types
package which will lead you along the possibilities. A builder for each structure that allows easier access and declaration is also provided.
More on the specifics and a few examples of standard use-cases can be found in the TypedAPI section of the documentation.
While most of the endpoints are covered, a few points are still being worked on and will be part of future releases:
- NDJSON endpoints:
bulk
,msearch
,msearch_template
,ML.post_data
,find_structure
, to name a few. - Response and Errors structures with deserialization.
While being different, the new API uses all the existing layers that were built so far, elastic-transport-go
remains the preferred transport and all your configuration and credentials applies, same as before.
Feedback is very welcome, play with it, use it, let us know what you think!
ML.InferTrainedModelDeployment
renamed toInferTrainedModel
ML.PreviewDatafeed
has two new parameters,start
andend
. DocumentationML.StartTrainedModelDeployment
has three new parameters,number_of_allocations
,threads_per_allocation
andqueue_capacity
. DocumentationCluster.DeleteVotingConfigExclusions
has a newmaster_timeout
parameter.Cluster.PostVotingConfigExclusions
has a newmaster_timeout
parameter.Snapshot.Get
has a newindex_names
parameters (boolean). Whether to include the name of each index in the snapshot. Defaults to true.
New APIs
Security.HasPrivilegesUserProfile
(Experimental API) Documentation
- Fixed a serialisation error for
retry_on_conflict
in the BulkIndexer. Thanks to @lpflpf for the help! - Fixed a concurrent map error in the BulkIndexer when custom headers are applied. Thanks to @chzhuo for the contribution!
New APIs
-
Cat.ComponentTemplates
-
ML.GetMemoryStats
documentation -
Security.activateUserProfile
(Experimental API) Documentation -
Security.disableUserProfile
(Experimental API) Documentation -
Security.enableUserProfile
(Experimental API) Documentation -
Security.getUserProfile
(Experimental API) Documentation -
Security.suggestUserProfiles
(Experimental API) Documentation -
Security.updateUserProfileData
(Experimental API) Documentation
- API is generated from the Elasticsearch 8.1.0 specification.
New parameters
WithWaitForCompletion
forIndices.Forcemerge
WithFeatures
forIndices.Get
WithForce
forML.DeleteTrainedModel
New APIs
OidcAuthenticate
,OidcLogout
andOidcPrepareAuthentication
see documentationTransformResetTransform
- The client now uses
elastic-transport-go
dependency which lives in its own repository. - With the knewly extracted transport, the
retryOnTimeout
has been replaced with aretryOnError
callback. This allows to select more finely which error should be retried by the client. BulkIndexerItem
Body
field is now anio.ReadSeeker
allowing reread without increasing memory consumption.BulkIndexerItem
know correctly uses therouting
property instead of the deprecated_routing
.
- API is generated from the Elasticsearch 8.0.0 specification.